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@ -71,7 +71,7 @@ Parameters for Tree Booster
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- Usually user does not have to tune this.
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but consider setting to a lower number for more accurate enumeration.
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- range: (0, 1)
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* scale_pos_weight, [default=0]
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* scale_pos_weight, [default=1]
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- Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: sum(negative cases) / sum(positive cases) See [Parameters Tuning](how_to/param_tuning.md) for more discussion. Also see Higgs Kaggle competition demo for examples: [R](../demo/kaggle-higgs/higgs-train.R ), [py1](../demo/kaggle-higgs/higgs-numpy.py ), [py2](../demo/kaggle-higgs/higgs-cv.py ), [py3](../demo/guide-python/cross_validation.py)
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Additional parameters for Dart Booster
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